All current Retrieval Augmented Generation Courses courses in 2024
71 Courses
Developing Generative Artificial Intelligence Solutions (Español LATAM)
Después del 28 de marzo, los títulos de los cursos solo estarán disponibles en inglés. Sin embargo, las descripciones de los cursos permanecerán disponibles en su idioma preferido para que pueda consultarlas.
Generative AI in Software Development
Course Description: This course provides a comprehensive exploration of Generative AI in software development, equipping learners with the knowledge and practical skills to integrate AI models into coding, debugging, and automation workflows. Designed for software engineers and AI enthusiasts, the course covers foundational AI concepts, key models.
Generative AI Fundamentals
Become proficient in Generative AI with this program that covers all the fundamentals. This program will allow you to get practical skills with major cloud providers like Azure and AWS as well as foundational knowledge on the core concepts you must know. Developed by industry experts, this program provides you with practical experience using vario.
Generative AI Fundamentals
Engage in a program meticulously crafted by industry experts to provide you with the essential practical experience in Generative AI. This course covers an array of cloud services and tools, including AWS CodeWhisperer, SageMaker, Lightsail, and Azure OpenAI Service, aiming to enhance your capabilities with both Small Language Models (SLMs) and.
AI & LLM Engineering Mastery: GenAI, RAG Complete Guide
Embark on a comprehensive journey into the world of AI and LLM Engineering with Udemy's expert-led course, "AI & LLM Engineering Mastery: GenAI, RAG Complete Guide." This course covers everything from the basics to advanced engineering techniques, including fine-tuning of AI models, exploration of retrieval-augmented generation (RAG), and the in.
DevOps and AI on AWS: Upgrading Apps with Generative AI
Discover how to enhance your applications with generative AI features on AWS in our interactive course. Dive into Amazon Bedrock's large language models, mastering custom text generation and advanced techniques such as prompt engineering, fine-tuning, and Retrieval Augmented Generation (RAG).
Our course emphasizes core DevOps practices, guidi.
Generative AI and Model Selection
Generative AI and Model Selection | Southern New Hampshire University | Coursera
Delve into the realm of generative AI and discover the intricacies of selecting the perfect model to suit your requirements with this hands-on course. You will develop a robust understanding of generative AI models, and examine various deployment options such as web.
AI Prompt Engineering and RAG for Software Engineers
Elevate your expertise and productivity by diving into the transformative world of Artificial Intelligence with our comprehensive course, "AI Prompt Engineering and RAG for Software Engineers," available on Udemy. Designed to future-proof your career, this course equips you with critical skills in Prompt Engineering, enabling you to effectivel.
Retrieval Augmented Generation (RAG) with LangChain
Expand your understanding of integrating external data with Large Language Models (LLMs) through Retrieval Augmented Generation (RAG) using LangChain. Although LLMs are now embedded in various technologies, they are limited by their training datasets. RAG addresses this challenge by combining LLMs with real-time external data.
In this course.
Optimizing Foundation Models (Traditional Chinese)
在本課程中，您將探索兩種改善基礎模型 (FM) 效能的技術：檢索增強生成 (RAG) 和微調。您將了解 Amazon Web Services (AWS) 服務，這些服務有助於使用向量資料庫儲存內嵌、客服在多步驟任務中的角色、定義微調 FM 的方法、如何準備用於微調的資料等等。
課程等級：基礎
課程時長：1 小時
本課程包括互動元素、文字指令和說明性圖形。
課程目標
識別有助於使用向量.
